More and more effort is done in BCI research to improve its usability for patients, with respect to its communication speed and transmission accuracy. In this contribution, we experiment with BCI speller based on P300 evoked potential. More precisely, the typical form of event-related potential (ERP) inspires us to devise classification methods based on the similarity/dissimilarity in the time ...

Brain Computer Interface (BCI) is an alternative communication system which allows users to send commands and/or messages toward the outside not crossing the normal output channels of the brain, but conveying these outputs from the human brain to a computer (Wolpaw et al., 2002). In an EEG-based BCI messages are obtained from brain activity. This study presents a novel P300 based Brain Computer...

A Brain-Computer Interface (BCI) is an interface that enables the direct communication between human and machines by analyzing brain measurements. A P300 speller is based on the oddball paradigm, which generates event-related potential (ERP), like the P300 wave, on targets selected by the user. The detection of these P300 waves allows selecting visually characters on the screen. We present a ne...

OBJECTIVE To investigate whether error-related potentials can be used to increase information transfer rate of a P3 brain-computer interface (BCI) in healthy and motor-impaired individuals. METHODS Extraction and classification of the error-related potential was performed offline on data recorded from six amyotrophic lateral sclerosis (ALS) patients. An online study with 17 healthy and six mo...

Implementing a complex spelling program using a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) remains a challenge due to difficulties in stimulus presentation and target identification. This study aims to explore the feasibility of mixed frequency and phase coding in building a high-speed SSVEP speller with a computer monitor. A frequency and phase approximat...

HE P300 speller is a brain-computer interface (BCI) system that restores communication ability to “locked-in” patients by detecting evoked responses to visual stimuli in the user’s electroencephalogram (EEG) signal [1]. Choosing the optimal placement and number of electrodes is essential in any EEG system as it balances the amount of available data against the set-up time and the amount of comp...